PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-09-11 10:23:42.876273+00:00 (UTC)
In US/Central Time, this is 2024-09-11 05:23:42.876273-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/19c02f0ce37fd557810c532cedf51b1ec127aca261fb845eab292511938a5403.png
We are just generating a random time serie here.
../../_images/17f678065a7320d434e73c29206fb5c87114b1e2b51fb116764ad39daf84f811.png
../../_images/43505b88d54614ac9bccf63801c42776f4f4ea30bbf38a785090734e4774ed52.png